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I've often heard on PhysicsForums that career prospects are bright for theorists who paid attention to their math fundamentals and learned to program. That's me! It's also several of my fellow grad students. I suspect many others on this forum are in similar situations, and they may also benefit from advice.

Nobody is calling us. So if employers aren't finding us, we'll look for them. The question is:

For the sake of generality, please assume the following conditions. These are all true for me, and most are true for my colleagues.

In my case, I specialize in linear algebra, applied statistics, ordinary and stochastic differential equations, and a little cryptography and information theory. I do numerical simulations of all these things with NumPy, MATLAB, and Mathematica. I know more than enough C++ to code FizzBuzz, but not enough to impress a professional. I've been aiming for financial modeling, data mining, or quantum computing - but other suggestions are welcome.

My colleagues' abilities differ, but they're all good at basic probability, numerical programming, and either PDEs or ODEs. Most of them are also good teachers and skilled at explaining complicated things simply without dumbing them down or insulting the audience.

Any practical advice is greatly appreciated! (Ideological nonsense will be quietly ignored.)

Nobody is calling us. So if employers aren't finding us, we'll look for them. The question is:

**What are some good ways to get our resumes, publications, portfolios, and/or selves in front of people who might hire us?**For the sake of generality, please assume the following conditions. These are all true for me, and most are true for my colleagues.

- We recently defended our PhDs or will do so within a few months.
- Academic, government, and private jobs are all open for consideration. We are flexible about location. (Exception: No working for hostile governments. We will not help North Korea decrypt your email.)
- We are competent programmers but lack the experience required for senior-level software jobs.
- We do not care if the work is "boring." Blue-sky basic research is awesome, but plain old statistics is also perfectly good.
- U.S. News did not rank our department "top tier," so we are not eligible for positions requiring degrees from high-status universities.
- We have applied to postdocs but cannot afford to bet all-in on the classic academic postdoc/professor/tenure trajectory.
- We do not live with our parents and therefore cannot afford to be adjunct instructors forever. (Adjuncts: Forgive my snark, but I think you know what I mean.)

**Buddy method:**Ask friends/colleagues/family to introduce us to potential employers. Alas, this method is limited by the people we happen to know already.**Sniper method:**Email people who are experts at stuff we like. I've heard that it's better to ask for advice about a specific topic rather than say "hey, gimme a job."**Shotgun method:**Search for job postings and send a huge number of resumes and/or cover letters.**Headhunter method:**Email recruiters who specialize in industries related to our research and training.- EDIT:
**Conference method:**Go to professional and academic conferences. Talk shop with people and hand out business cards.

In my case, I specialize in linear algebra, applied statistics, ordinary and stochastic differential equations, and a little cryptography and information theory. I do numerical simulations of all these things with NumPy, MATLAB, and Mathematica. I know more than enough C++ to code FizzBuzz, but not enough to impress a professional. I've been aiming for financial modeling, data mining, or quantum computing - but other suggestions are welcome.

My colleagues' abilities differ, but they're all good at basic probability, numerical programming, and either PDEs or ODEs. Most of them are also good teachers and skilled at explaining complicated things simply without dumbing them down or insulting the audience.

Any practical advice is greatly appreciated! (Ideological nonsense will be quietly ignored.)

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